Project Management

Make your budget process smoother! Use my checklist based on my 15 years of experience. 🔗 Download it here: https://lnkd.in/edvf5exs Here is what is inside: 1️⃣ Preparation & Planning 🔲 Understand management's expectations concerning growth, strategy & profitability 🔲 Set clear financial goals and differentiate between short and long-term objectives 🔲 Establish a structured approach for managing the budget process (deadlines, owners) 🔲 Ensure that budgeting activities align with the organization’s overarching goals and priorities Tip: you can use ChatGPT to draft your budget instructions or budget memo. If you want to learn how to use ChatGPT for Finance, you can learn it here: https://lnkd.in/e8RGdYsK 2️⃣ Sales Planning 🔲 Choose an appropriate method for sales planning 🔲 Detail your budget sufficiently for effective analysis 🔲 Consider external factors like market trends, economic conditions impacting the business 🔲 Ensure accurate phasing of the sales plan 🔲 Conduct 'what-if' analysis to understand impacts on resources and profitability 3️⃣ Operational & Resource Planning 🔲 Plan for production, delivery, and workload 🔲 Account for direct headcounts & determine capacity 🔲 Determine material needs and plan for necessary investments 🔲 Collaborate with cross-functional teams to develop a comprehensive operational plan 4️⃣ Costing & Overhead Planning 🔲 Compute standard costs: direct labor, material costs, and manufacturing overhead allocation 🔲 Budget for individual departments and allocate overhead costs accordingly 5️⃣ Financial Statements & Reporting 🔲 Translate the budget into key financial statements: Income Statement, Balance Sheet, & Cash Flow 🔲 Establish a structured reporting process to communicate budget-related information to stakeholders 🔲 Create a visual budget performance dashboard to quickly assess the financial performance 6️⃣ Monitoring & Analysis 🔲 Regularly monitor and analyze budget variances to identify deviations 🔲 Perform sensitivity analysis to understand potential impacts on the budget 🔲 Leverage financial data analysis tools to identify trends, patterns, and opportunities for improvement 7️⃣ Communication & Collaboration 🔲 Foster open communication and shared financial goals in relationships, both internally and externally 🔲 Engage with stakeholders from different departments to gather valuable insights 🔲 Develop and communicate clear budgeting policies and procedures 8️⃣ Final Review & Implementation 🔲 Review the budget for any inconsistencies or errors 🔲 Communicate the finalized budget to all relevant departments and ensure its implementation 👉 Did I miss anything? Get this checklist to organize your budget process. Link below in comments.

Have I mentioned we are data geeks?🤓🤓 Performance uncertainty remains one of the biggest barriers to wider uptake of #energy #efficiency technologies.💡 #Wind-assisted propulsion,💨 air-lubrication systems🫧 and other proven #retrofits can cut fuel use by double-digit percentages.📉 But real-world savings swing with weather, routing and operations. Without clarity on a retrofit’s actual contribution, neither shipowners nor charterers can forecast returns with confidence.🤷🏻♀️ And because we’ve always believed that #data📊 can give us the clearest truth, we set out to address this challenge.👊🏻 Our friends at Eastern Pacific Shipping Pte. Ltd. gave us access to the Pacific Sentinel, on which we installed a high-frequency data acquisition system as three suction #sails⛵️ were retrofitted onboard the MR tanker in March 2025. Calibrated sensors captured #power consumption, vessel speed, engine load, heading and wind conditions every 15 seconds. Over four months as the vessel traded spot around the Americas,🌎 we saw #weather and #performance at a fidelity far beyond the single daily datapoint in a noon report. Building on #ITTC and DNV methodologies, Global Centre for Maritime Decarbonisation (GCMD) and EPS implemented an “on-off’’ testing protocol,🎛️ comparing power consumption with the sails activated and deactivated under otherwise similar environmental and operational conditions to isolate the sails’ true contribution. Under the predominantly near-headwind conditions sampled, the vessel saw an average instantaneous power savings⚡️ of 7.2%, with a 95% confidence interval between 6.2% and 8.2%. Instantaneous savings ranged from +28% to –14%. These rare outliers highlight just how sensitive power savings are to wind speed and direction, and underscore the importance of tracking dynamic operational data.⚠️ Access report here:  https://lnkd.in/g_dRFtJp If we want to scale energy-efficiency retrofits, we must tackle performance uncertainty head-on. Shipowners won’t invest, and charterers won’t commit, if they can’t trust that the #savings will show up in their fuel bills.💵 We therefore developed a power savings polar heat map to predict energy and fuel savings with wind conditions. With 3rd-party verification, this will enable performance-linked financing of the retrofits.💰 This case study is but a first step in building that validation layer. And it ladders🪜 up to what we launched last week: #FEET — the world’s first blended-finance fund designed to support energy-efficiency retrofits through a pay-as-you-save repayment structure. Progress is incremental, and this marks a big step in the right direction.👊🏻 Together, we are stronger; together, we can💪🏻 Shane Balani, Zheng Yang Cheng 钟正扬, Bhushan Taskar, Goh Wan Ni, Pavlos Karagiannidis, Mirtcho Spassov, CFA, Mike Wilson, Rashim Berry, Cyril Ducau

The partnership model isn't evolving. It's being systematically dismantled. PwC UK majorly restructured its business: → 123 partners exited (2x historical average) → 74 partners left in December alone → Tech apprenticeship program suspended → Career ceiling permanently institutionalized with MD title. This isn't just another cost-cutting cycle. It's the collapse of a centuries-old business model. For 150+ years, partnerships operated on a simple premise: senior experts scale through junior teams. But the economics have inverted: → Partner profits dropping across the Big 4 → The response? Cut owners, not just costs → Protect profit pools by shrinking the top → Automate and eliminate the bottom Value creation being completely rewired: → Expertise shifts from humans to systems → Leverage with technology, not junior staff → IP and platforms replacing billable hours → Scale without headcount growth The same pattern is emerging across firms: → EY's failed Projectsct Everest → KPMG's merger of 100+ units into 32 → Deloitte's reorganization to cut costs → All racing to transform as the consulting market slows The professional services pyramid isn't just shrinking—it's being replaced by a model where technology and orchestration create more value than armies of junior staff delivering services. The existential question: How does a partnership-based knowledge business survive when expertise can be digitized, automated, and deployed at near-zero marginal cost? What we're witnessing isn't the evolution. It's the beginning of its reinvention. - Numbers referenced from FT article.

My team and I once tried to hand-wave our way past Jeff Bezos with a large headcount request. He asked one question, was disappointed by the answer, and dug deeper. After a weak answer to question two, it was game over. Jeff declared that he trusted NONE of our proposal and sent us back, telling us, "Break down your requests to no more than 2 or 3 heads, tops, per line item. Then explain exactly what these small buckets will do." Once we did this, he went through the request line by line, telling us what we could and could not have. Overall, it was probably the most brutal experience I had with him in my 15 years at Amazon. While some people will read this and feel it was micromanagement, he was entirely right. We thought we had a blank check, so we made a big, broad funding request. We learned very quickly that while Jeff supported our mission, he expected us to spend "his" money carefully. Most people think executive influence happens in the room, by talking slick or having the right alliances. While communication and connections are hugely important, most of your influence is built before the meeting starts. Getting executive buy-in comes from understanding your executives, anticipating their concerns, and structuring your message around what they value. Here are two quick specifics: 1. Preparation If you walk into a key stakeholder meeting without preparing, like I did, you’ve already lost. The first step in preparation is clarity: What are you trying to achieve, by when, and why now? Then, define exactly what you’re asking for: a decision, resources, or permission to move forward. Finally, decode the humans. What does each stakeholder care about? What do they fear? How do they make decisions? Build your case in their language and plan your approach with intention. 2. Focus on Facts Executives are moved by accurate, outcome-driven facts. Shortly after this disastrous headcount audit, I was asked to lead the global expansion of the Kindle Appstore. This required taking 55 engineers away from other executive leaders to staff our rush effort. Our team won support by anchoring on three facts: (1) Kindle’s success in the U.S. was undeniable (2) The holiday deadline couldn’t move (3) Leadership had already approved a one-year draft to make it happen. Those facts aligned perfectly with what executives valued most: growth, timing, and company priority. If you master these skills, you’ll earn trust and support from senior leaders. In large organizations, this translates to success in your projects and success in your career. I've written a much more in depth Newsletter that covers these skills and more: https://lnkd.in/geEBPazP When have you either fallen into hand-waving or had to call your team on it?

Explaining the Evaluation method LLM-as-a-Judge (LLMaaJ). Token-based metrics like BLEU or ROUGE are still useful for structured tasks like translation or summarization. But for open-ended answers, RAG copilots, or complex enterprise prompts, they often miss the bigger picture. That’s where LLMaaJ changes the game. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗶𝘁? You use a powerful LLM as an evaluator, not a generator. It’s given: - The original question - The generated answer - And the retrieved context or gold answer 𝗧𝗵𝗲𝗻 𝗶𝘁 𝗮𝘀𝘀𝗲𝘀𝘀𝗲𝘀: ✅ Faithfulness to the source ✅ Factual accuracy ✅ Semantic alignment—even if phrased differently 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: LLMaaJ captures what traditional metrics can’t. It understands paraphrasing. It flags hallucinations. It mirrors human judgment, which is critical when deploying GenAI systems in the enterprise. 𝗖𝗼𝗺𝗺𝗼𝗻 𝗟𝗟𝗠𝗮𝗮𝗝-𝗯𝗮𝘀𝗲𝗱 𝗺𝗲𝘁𝗿𝗶𝗰𝘀: - Answer correctness - Answer faithfulness - Coherence, tone, and even reasoning quality 📌 If you’re building enterprise-grade copilots or RAG workflows, LLMaaJ is how you scale QA beyond manual reviews. To put LLMaaJ into practice, check out EvalAssist; a new tool from IBM Research. It offers a web-based UI to streamline LLM evaluations: - Refine your criteria iteratively using Unitxt - Generate structured evaluations - Export as Jupyter notebooks to scale effortlessly A powerful way to bring LLM-as-a-Judge into your QA stack. - Get Started guide: https://lnkd.in/g4QP3-Ue - Demo Site: https://lnkd.in/gUSrV65s - Github Repo: https://lnkd.in/gPVEQRtv - Whitepapers: https://lnkd.in/gnHi6SeW

Modern IIoT systems demand a balance of safety, security, reliability, resilience, and privacy. This isn't just a tech challenge; it's a cultural one, bridging IT's obsession with privacy and OT's focus on safety. The 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐈𝐨𝐓 𝐂𝐨𝐧𝐬𝐨𝐫𝐭𝐢𝐮𝐦’𝐬 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 (𝐈𝐈𝐒𝐅), first released in 𝟐𝟎𝟏𝟔, is now on 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝟐.𝟎, with its latest update in 𝟐𝟎𝟐𝟑. Over the years, it has evolved into a robust guide for securing IIoT systems, addressing the unique challenges of integrating IT and OT. The IISF is designed to help manufacturers build trustworthiness across systems by aligning safety, security, reliability, resilience, and privacy in a single framework. The 𝐈𝐨𝐓 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐌𝐚𝐭𝐮𝐫𝐢𝐭𝐲 𝐌𝐨𝐝𝐞𝐥 (𝐒𝐌𝐌), first released in 𝟐𝟎𝟏𝟖, is a structured framework that builds on the IISF’s principles by helping organizations assess and improve their security practices. 𝐖𝐡𝐚𝐭 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐝𝐨 𝐭𝐡𝐞𝐲 𝐬𝐨𝐥𝐯𝐞? • Securing legacy (brownfield) environments alongside modern, cloud-integrated systems. • Bridging the gap between IT (focused on data security) and OT (focused on operational safety). • Equipping manufacturers with tools to assess risks, address gaps, and build actionable security roadmaps. 𝐇𝐨𝐰 𝐓𝐡𝐞𝐲 𝐖𝐨𝐫𝐤 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 • 𝐈𝐈𝐒𝐅 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐬 𝐭𝐡𝐞 "𝐖𝐡𝐚𝐭" 𝐚𝐧𝐝 "𝐖𝐡𝐲": It explains what security goals organizations should aim for and why they matter in an IIoT context. • 𝐒𝐌𝐌 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐬 𝐭𝐡𝐞 "𝐇𝐨𝐰": It helps organizations evaluate their current security maturity, define targets based on IISF principles, and create actionable roadmaps to achieve those targets. 𝐖𝐡𝐲 𝐔𝐬𝐞 𝐁𝐨𝐭𝐡? Together, the IISF and SMM offer a top-down and bottom-up approach: • Start with the IISF to understand the overarching security needs for your IIoT systems. • Use the SMM to assess where you stand and implement practical improvements to achieve those needs. 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐈𝐈𝐒𝐅:  https://lnkd.in/eypinq3G 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐒𝐌: https://lnkd.in/e398Y9TU ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

𝗧𝗼𝗱𝗮𝘆, 𝗣𝗠𝗜 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝘀 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝘀𝘁𝘂𝗱𝘆 𝘄𝗲’𝘃𝗲 𝗲𝘃𝗲𝗿 𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗲𝗱 - 𝗼𝗻 𝗮 𝘁𝗼𝗽𝗶𝗰 𝘁𝗵𝗮𝘁 𝗶𝘀 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘁𝗼 𝗼𝘂𝗿 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻: 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. 📚 Read the report: https://lnkd.in/ekRmSj_h With this report, we are introducing a simple and scalable way to measure project success. A successful project is one that 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀 𝘃𝗮𝗹𝘂𝗲 𝘄𝗼𝗿𝘁𝗵 𝘁𝗵𝗲 𝗲𝗳𝗳𝗼𝗿𝘁 𝗮𝗻𝗱 𝗲𝘅𝗽𝗲𝗻𝘀𝗲, as perceived by key stakeholders. This clearly represents a shift for our profession, where beyond execution excellence we also feel accountable for doing anything in our power to improve the impact of our work and the value it generates at large. The implications for project professionals can be summarized in a framework for delivering 𝗠𝗢𝗥𝗘 success: 📚𝗠anage Perceptions For a project to be considered successful, the key stakeholders - customers, executives, or others - must perceive that the project’s outcomes provide sufficient value relative to the perceived investment of resources. 📚𝗢wn Project Success beyond Project Management Success Project professionals need to take any opportunity to move beyond literal mandates and feel accountable for improving outcomes while minimizing waste. 📚𝗥elentlessly Reassess Project Parameters Project professionals need to recognize the reality of inevitable and ongoing change, and continuously, in collaboration with stakeholders, reassess the perception of value and adjust plans. 📚𝗘xpand Perspective All projects have impacts beyond just the scope of the project itself. Even if we do not control all parameters, we must consider the broader picture and how the project fits within the larger business, goals, or objectives of the enterprise, and ultimately, our world. I believe executives will be excited about this work. It highlights the value project professionals can bring to their organizations and clarifies the vital role they play in driving transformation, delivering business results, and positively impacting the world. The shift in mindset will encourage project professionals to consider the perceptions of all stakeholders- not just the c-suite, but also customers and communities. To deliver more successful projects, business leaders must create environments that empower project professionals. They need to involve them in defining - and continuously reassessing and challenging - project value. Leverage their expertise. Invest in their work. And hold them accountable for contributing to maximize the perception of project value at all phases of the project - beyond excellence in execution. 📚 Please read the report, reflect on its findings, and share it broadly. And comment! Project Management Institute #ProjectSuccess #PMI #Leadership #ProjectManagementToday

WEF's Global Risks Report 2026 is out 👉 (https://lnkd.in/eaMrdW67).. I put the findings in a 20-year perspective. I mapped 20 years of risk rankings. Two patterns stand out. Both troubling. The headline findings in this report: 🔵 geoeconomic confrontation is now the #1 risk in the short term, 🔵 economic risks are spiking, 🔵 50% of experts expect a turbulent or stormy outlook over the next two years. But the deeper signal only appears when you track the rankings over time (what I did, see 👇 ). ⚫ 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝟏 – 𝐋𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐫𝐢𝐬𝐤𝐬 𝐦𝐢𝐠𝐫𝐚𝐭𝐞 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐬𝐡𝐨𝐫𝐭 𝐭𝐞𝐫𝐦 Not overnight. Not mechanically. But persistently. In 2007–2010, short-term risks were concrete and immediate: asset bubbles, oil shocks, chronic diseases. Fast forward to today. The long-term top risks for 2026 are: 🌪️ extreme weather 🌍 biodiversity loss 🧠 misinformation 🤖 adverse AI outcomes What changed is not that economic risks disappeared. It’s that structural risks began to act as crisis amplifiers. Extreme weather didn’t replace financial shocks, it reshaped them. Climate risks first entered the short-term top 5 around 2014. By 2020, climate action failure topped the list. “Tomorrow’s risks” became today’s stress multipliers, and increasingly, direct crisis drivers. The future didn’t wait. ⚫𝐏𝐚𝐭𝐭𝐞𝐫𝐧 𝟐: 𝐍𝐚𝐭𝐮𝐫𝐞 𝐢𝐬 𝐛𝐞𝐢𝐧𝐠 𝐟𝐨𝐫𝐠𝐨𝐭𝐭𝐞𝐧, 𝐚𝐠𝐚𝐢𝐧 This year, environmental risks dropped sharply in the short-term rankings. More worrying: their severity scores also declined in absolute terms. Yet over the 10-year horizon, environmental risks dominate the top 10. Twenty years of WEF risk data tell the same story: we consistently recognise long-term environmental threats, then consistently deprioritise them when short-term pressures mount. It's not that we don't know. It's that our attention economy is structurally biased toward the urgent over the important. The most interconnected risk for the second year running? Inequality (👇). It fuels everything else: polarisation, migration, political instability, resistance to climate policy. Perhaps that's where to start: 𝐢𝐟 𝐰𝐞 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐚𝐝𝐝𝐫𝐞𝐬𝐬 𝐥𝐨𝐧𝐠-𝐭𝐞𝐫𝐦 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬, 𝐰𝐞 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐫𝐞𝐝𝐮𝐜𝐞 𝐭𝐡𝐞 𝐬𝐡𝐨𝐫𝐭-𝐭𝐞𝐫𝐦 𝐝𝐞𝐬𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐤𝐞𝐞𝐩𝐬 𝐮𝐬 𝐭𝐫𝐚𝐩𝐩𝐞𝐝 𝐢𝐧 𝐜𝐫𝐢𝐬𝐢𝐬 𝐦𝐨𝐝𝐞. #GlobalRisks #WEF #ClimateChange #Sustainability #SystemChange

Should you try Google’s famous “20% time” experiment to encourage innovation? We tried this at Duolingo years ago. It didn’t work. It wasn’t enough time for people to start meaningful projects, and very few people took advantage of it because the framework was pretty vague. I knew there had to be other ways to drive innovation at the company. So, here are 3 other initiatives we’ve tried, what we’ve learned from each, and what we're going to try next. 💡 Innovation Awards: Annual recognition for those who move the needle with boundary-pushing projects. The upside: These awards make our commitment to innovation clear, and offer a well-deserved incentive to those who have done remarkable work. The downside: It’s given to individuals, but we want to incentivize team work. What’s more, it’s not necessarily a framework for coming up with the next big thing. 💻 Hackathon: This is a good framework, and lots of companies do it. Everyone (not just engineers) can take two days to collaborate on and present anything that excites them, as long as it advances our mission or addresses a key business need. The upside: Some of our biggest features grew out of hackathon projects, from the Duolingo English Test (born at our first hackathon in 2013) to our avatar builder. The downside: Other than the time/resource constraint, projects rarely align with our current priorities. The ones that take off hit the elusive combo of right time + a problem that no other team could tackle. 💥 Special Projects: Knowing that ideal equation, we started a new program for fostering innovation, playfully dubbed DARPA (Duolingo Advanced Research Project Agency). The idea: anyone can pitch an idea at any time. If they get consensus on it and if it’s not in the purview of another team, a cross-functional group is formed to bring the project to fruition. The most creative work tends to happen when a problem is not in the clear purview of a particular team; this program creates a path for bringing these kinds of interdisciplinary ideas to life. Our Duo and Lily mascot suits (featured often on our social accounts) came from this, as did our Duo plushie and the merch store. (And if this photo doesn't show why we needed to innovate for new suits, I don't know what will!) The biggest challenge: figuring out how to transition ownership of a successful project after the strike team’s work is done. 👀 What’s next? We’re working on a program that proactively identifies big picture, unassigned problems that we haven’t figured out yet and then incentivizes people to create proposals for solving them. How that will work is still to be determined, but we know there is a lot of fertile ground for it to take root. How does your company create an environment of creativity that encourages true innovation? I'm interested to hear what's worked for you, so please feel free to share in the comments! #duolingo #innovation #hackathon #creativity #bigideas

🚨 AI Privacy Risks & Mitigations Large Language Models (LLMs), by Isabel Barberá, is the 107-page report about AI & Privacy you were waiting for! [Bookmark & share below]. Topics covered: - Background "This section introduces Large Language Models, how they work, and their common applications. It also discusses performance evaluation measures, helping readers understand the foundational aspects of LLM systems." - Data Flow and Associated Privacy Risks in LLM Systems "Here, we explore how privacy risks emerge across different LLM service models, emphasizing the importance of understanding data flows throughout the AI lifecycle. This section also identifies risks and mitigations and examines roles and responsibilities under the AI Act and the GDPR." - Data Protection and Privacy Risk Assessment: Risk Identification "This section outlines criteria for identifying risks and provides examples of privacy risks specific to LLM systems. Developers and users can use this section as a starting point for identifying risks in their own systems." - Data Protection and Privacy Risk Assessment: Risk Estimation & Evaluation "Guidance on how to analyse, classify and assess privacy risks is provided here, with criteria for evaluating both the probability and severity of risks. This section explains how to derive a final risk evaluation to prioritize mitigation efforts effectively." - Data Protection and Privacy Risk Control "This section details risk treatment strategies, offering practical mitigation measures for common privacy risks in LLM systems. It also discusses residual risk acceptance and the iterative nature of risk management in AI systems." - Residual Risk Evaluation "Evaluating residual risks after mitigation is essential to ensure risks fall within acceptable thresholds and do not require further action. This section outlines how residual risks are evaluated to determine whether additional mitigation is needed or if the model or LLM system is ready for deployment." - Review & Monitor "This section covers the importance of reviewing risk management activities and maintaining a risk register. It also highlights the importance of continuous monitoring to detect emerging risks, assess real-world impact, and refine mitigation strategies." - Examples of LLM Systems’ Risk Assessments "Three detailed use cases are provided to demonstrate the application of the risk management framework in real-world scenarios. These examples illustrate how risks can be identified, assessed, and mitigated across various contexts." - Reference to Tools, Methodologies, Benchmarks, and Guidance "The final section compiles tools, evaluation metrics, benchmarks, methodologies, and standards to support developers and users in managing risks and evaluating the performance of LLM systems." 👉 Download it below. 👉 NEVER MISS my AI governance updates: join my newsletter's 58,500+ subscribers (below). #AI #AIGovernance #Privacy #DataProtection #AIRegulation #EDPB